The 4 Best AI Alternatives to ChatGPT
Jeremy Schifeling
? Author of the #1 Best-Selling ChatGPT for Job Searching Book ?? ? LinkedIn + AI Trainer for 250+ of the World's Top Universities ?? ? ? Keynote Speaker for NACE, MBA CSEA, and NCDA ??
As great as ChatGPT is, its early lead in this space has led to it becoming a generic stand-in for all AI tools. Like Xerox, Kleenex, and JELL-O in their respective spaces, it’s crowded out awareness of so many other worthy platforms. Which is a shame because the first step in using AI effectively is to choose the right tool for the job.
And so here’s a quick tour of four other tools for specific jobs:
1) You Need Current Data
Try searching ChatGPT or most AI tools for “What PM jobs are open in Chicago today?” and you’ll quickly run up against the limits of its training data:
So if you want to leverage the power of AI and the power of live web search, the two best players are, unsurprisingly, the two biggest search engines: Google (Bard) and Bing (Bing Chat).
While I’ve found Bing Chat to be more effective (it’s powered by OpenAI’s most powerful GPT-4 model, which you’d normally have to pay $20/month for) it is currently limited to use via Microsoft’s Edge browser and its own smartphone app. Whereas Bard, also free, is available everywhere.
2) You Need Citations
As you’ll notice in the Bing Chat example above, it often provides footnotes for its sources - something that ChatGPT never does.
This is important not just from an academic perspective, but because it helps reduce hallucinations by forcing the AI to cite actual, verifiable sources.
And so if verifiable results are essential to your search (e.g., “What research has been done on the efficacy of a two-page resume?”), I really like Perplexity because it’s baked a focus on citations into its results more than any other AI tool:
3) You Need to Upload or Produce a Massive Amount of Text
Let’s say that you have a resume book for all your students and you want to get a sense of the most common backgrounds and skills for your new class. That way, you can give your employer partners a taste of where your students are coming from.
While you could look through hundreds of resumes yourself and try to pull out patterns, that would be both tedious and fairly unscientific.
And while you might be tempted to just paste the entire file into ChatGPT and hope for the best, that massive amount of text will far exceed its limits:
So to solve this quandary, instead turn to another free tool: Claude. Claude has a much larger “token window” - which basically means it can digest much more text and even whole files up to 10 MB.
And so this once-impossible task is now a piece of cake:
4) You Need to Analyze a Large Dataset
While ChatGPT Plus ($20/month) is the only paid service I sometimes recommend, it does have one superpower that can make it worth the price of admission: It can analyze massive data files the same way a professional Data Analyst might.
For instance, let’s say that you have a giant CSV with all your LinkedIn connections exported. And you’re curious which industries and job titles you have the deepest penetration with.
Again, instead of manually eyeballing it, you head over to ChatGPT Plus’s Advanced Data Analysis tool and upload the CSV. And now, because ChatGPT can write Python and analyze the data, you’ve got all your answers right away:
PS: Feel free to share with your colleagues! And if you ever want me to lead an AI training for your students?or colleagues?this year, just say the word.
Senior HR | Techy | Talks about Tech and Marketing
9 个月Consider exploring AI Collective as one of the free tools that should be on your radar. It's a valuable AI tool for various applications.
??Award-Winning Academic ??Passionate Career-Educator ??ChatGPT/AI Keynoter ??LinkedIn Advocate/Author/Trainer ??Translating Accounting & AI into English ??Helping YOU ?Learn/Grow/Succeed?? ...and Get HIRED??
12 个月Nicely done Jeremy. Thanks for the share. Am a big fan of Claude 2 as well. When asking for 25 examples of XXX.it actually gives 25. With GPT-4, sometimes get 25, sometimes get 10. When I checked sources for my last query for citations in research, GPT-4 hallucinated (yes, made things up) 20 percent of the time, while Claude 2 was at 8%. Which reinforces the point to VERIFY ALL outputs. GPT-4 though is still my most frequented Go To with the Data Analysis and Plugin features being POWERFUL. You might also check out cactus.ai who just signed a deal with Loyola, as announced by Harrison Leonard, and prides itself on accurate reference sourcing among other features.
Gallup Certified Strengths Coach | Presentation, speaking and career coaching MBAs @ UW Foster | Podcaster.
1 年Great round up. Have you experimented with Llama at all? I've used it a bit through Hugging Face. Just started some experiments with Claude. Have also used Notion, but that is just using OpenAI's GPT model through a different interface from what I gather..